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Comparison of maximum entropy and minimal mutual information in a nonlinear setting

Theis, Fabian J. ; Bauer, Christoph ; Lang, Elmar



Abstract

In blind source separation (BSS), two different separation techniques are mainly used: Minimal Mutual Information (MMI), where minimization of the mutual output information yields an independent random vector, and Maximum Entropy (ME), where the output entropy is maximized. However, it is yet unclear why ME should solve the separation problem, ie. result in an independent vector. Yang and Amari ...

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